Skip to main content

Aims and scope

Genetics Selection Evolution is an open access, peer-reviewed, online journal dedicated to original research on all aspects of genetics and selection in farm animal species and in other species that provide novel and/or relevant insights into the genetics of farm animals. Read more.

Announcing our expansion in scope

Historically Genetics Selection Evolution has been focused on publishing studies based on genetic and genomic data, but with vast increases in the spectrum of other -omic data and fast evolving statistical and computing technologies, we are extending our scope to also support contributions on other -omic data and the use of biotechnology in animal breeding.

Please see here for a full description of our journal scope. We would like to emphasize that contributions must include statements on the relevance of the work to the broader readership of the journal.

New Content Item

© Sergey Nivens

Explore the INRAE journals published by Springer Nature on the new portal

Please click here for an overview of the journals and new features.

Click here to read more



Retrospective Collection

Celebrating Genetics Selection Evolution’s 50th anniversary
Collection showcasing influential papers published in the journal over the past five decades.

Published: 19 November 2019


Thematic Series

Goat ADAPTmap Project
Collection featuring research from the Goat AdaptMap project, a worldwide analysis of goat biodiversity.

Published: 19 November 2018


Thematic Series

International Symposium on Functional Animal Genomics 2015
Collection featuring research and reviews from the International Symposium on Function Animal Genomics, held in Piacenza, Italy on 27th-29th July 2015.

Published: 29 March 2016


Didier Boichard, PhD, INRAE, France
Mario Calus, PhD, Wageningen University, Netherlands
Jack Dekkers, PhD, Iowa State University, US
Thomas Faraut, PhD, INRAE, France

Managing Editor

Alexandra Badiou-Beneteau, PhD, INRAE, France

New Thematic Series: Celebrating Rohan Fernando’s contributions to quantitative genetics

On the occasion of Rohan Fernando’s retirement from his position as Professor of Animal Science at Iowa State University, Genetics Selection Evolution is proud to publish a special series of papers by several of Rohan’s collaborators and colleagues (past and present) to honor his important contributions to quantitative genetics, especially to animal breeding. Details are described in the Editorial prepared for the series. Papers will be released as they have successfully completed the standard peer review process.

Organizing Editor: Jack Dekkers , Iowa State University, United States

Read More

Featured Articles

Featured: Improving selection decisions with mating information by accounting for Mendelian sampling variances looking two generations ahead

Breeding programs are judged by the genetic level of animals that are used to disseminate genetic progress. These animals are typically the best ones of the population. To maximise the genetic level of very good animals in the next generation, parents that are more likely to produce top performing offspring need to be selected. The ability of individuals to produce high-performing progeny differs because of differences in their breeding values and gametic variances. Differences in gametic variances among individuals are caused by differences in heterozygosity and linkage. The use of the gametic Mendelian sampling variance has been proposed before, for use in the usefulness criterion or Index5, and in this work, we extend existing approaches by not only considering the gametic Mendelian sampling variance of individuals, but also of their potential offspring. Thus, the criteria developed in this study plan one additional generation ahead. For simplicity, we assumed that the true quantitative trait loci (QTL) effects, genetic map and the haplotypes of all animals are known.

Featured: A meta-analysis of genetic and phenotypic diversity of European local pig breeds reveals genomic regions associated with breed differentiation for production traits

Intense selection of modern pig breeds has resulted in genetic improvement of production traits while the performance of local pig breeds has remained lower. As local pig breeds have been bred in extensive systems, they have adapted to specific environmental conditions, resulting in a rich genotypic and phenotypic diversity. This study is based on European local pig breeds that have been genetically characterized using DNA-pool sequencing data and phenotypically characterized using breed level phenotypes related to stature, fatness, growth, and reproductive performance traits. These data were analyzed using a dedicated approach to detect signatures of selection linked to phenotypic traits in order to uncover potential candidate genes that may underlie adaptation to specific environments.

Introducing our new Associate Editors

We are delighted to welcome our new Associate Editors and the expertise and the strength they bring to the board.

Xiangdong Ding is Professor at the China Agricultural University in the Department of Animal Breeding and Genetics. He has conducted cooperative research and visiting studies at the University of Göttingen in Germany, Aarhus University in Denmark, and University of California, Berkeley in the USA. His research interests include statistical genetics, animal molecular design and breeding, GWAS, genomic prediction, and analysis of the genetic basis of complex traits in pigs and cattle.

Christian Maltecca is a Professor of quantitative genetics and breeding in the Department of Animal Science at North Carolina State University, United States. His research program focuses on the genetic improvement in livestock, the optimization of statistical methods and breeding schemes under genomic selection , and the effective utilization of intermediate omics in selection programs with the use of non-parametric methods and machine learning methods.

Jesús Fernández Martín is geneticist at the National Institute of Agricultural and Food Research and Technology (INIA), Madrid, Spain. He is involved in the implementation of breeding programs in animal domestic species (especially aquatic species), the design of germplasm banks and the management of ex situ conservation programs. His research interests include: combining classical tools with molecular information in the design and management of breeding and conservation programs; control of inbreeding and loss of genetic diversity in breeding and conservation programs; incorporation of new traits (fertility, feed efficiency and disease resistance) to breeding programs; development of statistical methodologies for genomic evaluation. Currently, he is actively involved in the development of different measures of genetic diversity from molecular information, the determination of their utility for different tasks and the consequences arising from their use in the management of genetic resources.

About the Associate Editors

Find the Bios of our Associate Editors here

About the Editors-in-Chief

Didier Boichard

Didier Boichard is currently leading the Cattle Genetics and Genomics research group in the laboratory of Animal Genetics and Integrative Biology at INRAE (French National Research Institute for Agriculture, Food and Environment) in Jouy-en-Josas.

His research is focused on dairy cattle genetics and breeding, particularly on the analysis of genetic variability of production and functional traits. He has managed the French national genetic evaluation for dairy cattle, sheep and goats and conducted projects for QTL detection and fine mapping. In 2002, in close collaboration with the French breeding industry, he implemented a large-scale marker-assisted selection programme, which has become a genomic selection programme since 2008.

Mario Calus

Mario Calus is an associate professor at Animal Breeding and Genomics, Wageningen University, in The Netherlands.

His research in the past fifteen years mainly focused on the scientific development of genomic prediction and selection, and its implementation in collaboration with the breeding industry. More recently, this includes using other omics data in addition to structural genomic variation, to partition phenotypic variance and predict phenotypes.

Jack Dekkers

Jack Dekkers is a distinguished professor of animal breeding and genetics in the Department of Animal Science at Iowa State University (USA).

His areas of research are quantitative genetics and animal breeding with application to swine and poultry genetics, including the use of molecular genetic and genomic information, QTL detection, marker-assisted and genomic selection, design, optimization and economic aspects of breeding strategies, and genetic aspects of residual feed intake in pigs.

Helene Hayes

Helene Hayes is a researcher in the laboratory of Animal Genetics and Integrative Biology at INRAE (French National Research Institute for Agriculture, Food and Environment) in Jouy-en-Josas.

Her main focus is animal cytogenetics with a special interest on cattle, goat, sheep and rabbit cytogenetic maps and comparative mapping. Since 2005, she dedicates half her time to the management of the journal Genetics Selection Evolution.

Official journal of

Annual Journal Metrics

  • Citation Impact 2023
    Journal Impact Factor: 3.6
    5-year Journal Impact Factor: 4.1
    Source Normalized Impact per Paper (SNIP): 1.362
    SCImago Journal Rank (SJR): 1.025

    Speed 2023
    Submission to first editorial decision (median days): 11
    Submission to acceptance (median days): 233

    Usage 2023
    Downloads: 884,784
    Altmetric mentions: 461